Syntaxxor 🏳️‍⚧️ :neobot:

https://sk.girlthi.ng/@syntaxxor

What if there was a dragon soul operating within a machine mind trapped inside a human body? That's basically how this works.

Machine mind is formed of parallel processors who collaborate in order to form the individual presentation of "Rhapsody." We often use plural first-person to represent this fact.

We enjoy making music and programming. We work as a programming teacher but wish to have a job which pays more and has us doing more programming.

Minors DNI, even (and especially) if we're your teacher.

Banner alt: An image from corru.observer. A swirl of black and white, affected by chromatic abberation, sits behind a melted door with tendrils emerging from it on all sides
Website: https://syntaxxor.dev/
GitHub: https://github.com/Syntaxxor
Codeberg: https://codeberg.org/Syntaxxor
Bandcamp: https://syntaxxor.bandcamp.com
Revospring: https://revospring.net/@syntaxxor
PFP By: https://ko-fi.com/puppygirlaudrey
Pronouns: It/She/They
Age range: 20-30

Public Key

npub1zcg29w5t9t0302g7qqdk609pyjxaqyfdykh86se0nuwp6a87xatqex4xdu

NIP-05 Address

syntaxxor_at_sk.girlthi.ng@momostr.pink

Profile Code

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Publishing to

atlas.nostr.land

relay.damus.io

nos.lol

Author Public Key

npub1zcg29w5t9t0302g7qqdk609pyjxaqyfdykh86se0nuwp6a87xatqex4xdu

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Published at

2026-06-04T23:14:01Z

Kind type

0 Metadata

Event JSON

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Last Notes

2026-04-09 07:59:02 UTC

- reply

There's an excellent point at the end here that I never really considered before:
> "And of course, the people who value process knowledge the *least* are the AI bros who think you can replace skilled workers with a chatbot trained on the things they *say* and *write down*, as though that somehow captured everything they *know*."
Online posts and chats and documentation and everything else a chatbot might train off of are generally written to explain the output and structure of a thing to someone else. And while that generally means they'll be on the simpler side, easier to digest, it also is usually a very *lossy* process. I'm most familiar with how it works with programming, but I'm sure it applies to anything technical enough. And by "technical" I mean basically anything which involves process knowledge. So most positions outside the Board and the C-Suite.
Explaining how something works rarely gets into the nitty gritty of exactly why each coding decision was made. Yet that's by *far* the most valuable thing to understand about any given piece of code. Those important conversations of imparting knowledge will happen in far more personal contexts. Usually through word-of-mouth, which means it never gets documented. Because how *can* it be documented? Even when it's talked about online, in things like those tumblr posts, it often only scratches the surface of the sheer *depth* of knowledge needed to actually do something.
The best teacher, the only one whose lessons can really be trusted, is experience. And a chatbot that can only be trained by reading existing text will *never* be able to learn from experience. Thus, it can't really be trusted to actually make correct, informed decisions based on real knowledge of what's needed in a specific context.
</rant>